Author Description

The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle. This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights. The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings. Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care. The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.